{"id":"W1672392311","doi":"10.1111/j.1945-1474.2012.00205.x","title":"Developing a Multidisciplinary Robotic Surgery Quality Assessment Program","year":2012,"lang":"en","type":"article","venue":"Journal for Healthcare Quality","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Multidisciplinary approach; Quality management; Medical physics; Medicine; Quality (philosophy); Robotic surgery; Health care; Quality assessment; Operations management; Medical emergency; Surgery; Engineering; External quality assessment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01198055,0.0002765007,0.001621847,0.0001496837,0.0005558915,0.00006216321,0.00009349715,0.0002307091,0.00002954365],"category_scores_gemma":[0.001268868,0.0002082031,0.001339948,0.0002621298,0.00007042799,0.0002623653,0.00004581126,0.0006605107,0.00001128881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008591085,"about_ca_system_score_gemma":0.001211536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002202856,"about_ca_topic_score_gemma":0.00002885326,"domain_scores_codex":[0.9950718,0.001241294,0.001582121,0.0002780406,0.0008321233,0.0009946765],"domain_scores_gemma":[0.9941441,0.003394079,0.0005526391,0.0003616424,0.0005041368,0.001043385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005957747,0.0006163775,0.8921753,0.001797238,0.0001810761,0.00004232453,0.0006001528,0.000002134213,0.00002288237,0.02657588,0.0003821896,0.07700863],"study_design_scores_gemma":[0.0008850706,0.0001964639,0.955004,0.0002502719,0.00008949542,0.0007193423,0.001430489,0.00002311102,0.00002472554,0.0004524255,0.04063274,0.0002918952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128785,0.002117266,0.008434535,0.07049933,0.003000198,0.001977325,0.00001585586,0.0002167152,0.0008603159],"genre_scores_gemma":[0.947127,0.0002474194,0.04814228,0.001890685,0.001574563,0.0001557911,0.00006419629,0.0000451069,0.0007529545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07671674,"threshold_uncertainty_score":0.8490275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3150908222419563,"score_gpt":0.5434627015342021,"score_spread":0.2283718792922458,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}